Revisiting Sampling for Combinatorial Optimization. - Haoran Sun; Katayoon Goshvadi; Azade Nova; Dale Schuurmans; Hanjun Dai (ICML, 2023)

DISCS: A Benchmark for Discrete Sampling. - Katayoon Goshvadi; Haoran Sun; Xingchao Liu; Azade Nova; Ruqi Zhang; Will Grathwohl; Dale Schuurmans; Hanjun Dai (NeurIPS, 2023)

Exploring and Benchmarking the Planning Capabilities of Large Language Models. - Bernd Bohnet; Azade Nova; Aaron T. Parisi; Kevin Swersky; Katayoon Goshvadi; Hanjun Dai; Dale Schuurmans; Noah Fiedel; Hanie Sedghi (CoRR, 2024)

Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. - Shicong Cen; Jincheng Mei; Katayoon Goshvadi; Hanjun Dai; Tong Yang 007; Sherry Yang 001; Dale Schuurmans; Yuejie Chi; Bo Dai 001 (ICLR, 2025)

Judging with Confidence: Calibrating Autoraters to Preference Distributions. - Zhuohang Li; Xiaowei Li 003; Chengyu Huang; Guowang Li; Katayoon Goshvadi; Bo Dai 001; Dale Schuurmans; Paul Zhou; Hamid Palangi; Yiwen Song; Palash Goyal; Murat Kantarcioglu; et al. (CoRR, 2025)